Publications
A techno-economic and financial analysis of a Gulf-India undersea electricity interconnector
Shivakumar, A., Weinstein, M., Kruitwagen, L., Spiteri, S., Arderne, C., Almulla, , Y., Usher, W., Howells, M., & Hawkes, A. (2021) Climate Compatible Growth Programme, Working Paper
An independent combined techno-economic and financial analysis of an electricity interconnector between Gulf Cooperation Council (GCC) countries and India.
A global inventory of utility-scale solar photovoltaic generating units
Kruitwagen, L., Story, K., Friedrich, J., Byers, L., Skillman, S., & Hepburn, C. (2021) In Review
A globally-complete inventory of solar PV generating stations built using machine learning and remote sensing. A collaboration with DescartesLabs and the World Resources Institute, presented at NeurIPS Climate Change AI workshop 2019.
Presentation GRASFI 2019 NeurIPS Climate Change AI 2019
Asset-Level Transition Risk in the Global Coal, Oil, and Gas Supply Chains
Kruitwagen, L., Klaas, J., Lakeh, A. B., & Fan, J. (2021) Institute for New Economic Thinking Working Paper
A complex network arrangement of the global fossil fuel supply chain and accompanying flow and community detection analysis. Built using over 4mn infrastructure assets drawn from open data. A collaboration with Quantum Black.
DeepSentinel: a general-purpose Sentinel-1 and -2 computer vision model
Kruitwagen, L. (2020) NeurIPS Climate Change AI Workshop Paper
A general-purpose Sentinel-1 and Sentinel-2 computer vision model aiming to unlock an explosion of earth observation use cases for public good. A Copernicus Masters’ Finalist for the Digital Twin Earth Challenge.
ArXiv NeurIPS Climate Change AI 2020 Code
Aerosol effects on mesoscale structures in marine boundary layer clouds
Christensen, M., Jones, W., Kusner, M., Kruitwagen, L., Pearce, T., Saeongkyongam, S., & Watson-Paris, D. (2020) Frontier Development Lab Europe 2020: Clouds & Aerosols Technical Memorandum.
Using machine learning to isolate the causal impacts of aerosols on marine boundary layer clouds, the largest source of uncertainty in long-term climate modelling.